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YAO SHU

26 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (45) 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (24) ⚑ Prolific Year (6) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (77)

Conferences

NIPS (7) ICML (6) ICLR (5) AAAI (2) ACL (2) EMNLP (2) UAI (1) WACV (1)

Papers

Self-Reflective Generation at Test Time ACL 2026 Optimization and Robustness-Informed Membership Inference Attacks for LLMs AAAI 2026 Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models ICML 2025 FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation AAAI 2025 Refining Adaptive Zeroth-Order Optimization at Ease ICML 2025 Flexora: Flexible Low-Rank Adaptation for Large Language Models ACL 2025 PAFT: Prompt-Agnostic Fine-Tuning EMNLP 2025 Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints ICML 2025 WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models ICML 2025 Position Paper: Data-Centric AI in the Age of Large Language Models EMNLP 2024 Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers ICML 2024 Localized Zeroth-Order Prompt Optimization NIPS 2024 Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars NIPS 2024 Robustifying and Boosting Training-Free Neural Architecture Search ICLR 2024 OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NIPS 2024 Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation ICLR 2023 Exploiting Correlated Auxiliary Feedback in Parameterized Bandits NIPS 2023 Quantum Bayesian Optimization NIPS 2023 Federated Neural Bandits ICLR 2023 Neural ensemble search via Bayesian sampling UAI 2022 Sample-Then-Optimize Batch Neural Thompson Sampling NIPS 2022 NASI: Label- and Data-agnostic Neural Architecture Search at Initialization ICLR 2022 DAVINZ: Data Valuation using Deep Neural Networks at Initialization ICML 2022 Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search NIPS 2022 Dynamic Routing Networks WACV 2021 Understanding Architectures Learnt by Cell-based Neural Architecture Search ICLR 2020